Firstly, text prompts (sentences) were created from 1132 phonetically balanced sentences in the CMU Arctic Database [1]}. The text is non-proprietary and the Arctic corpus itself has proven effective in various tasks including speech synthesis [2]}, speech conversion [3]}, and accent conversion [4]}. Next, a simple web application [5]} was designed, implemented and deployed for data collection using Angular and Firebase [6]}, [7]}. An audio API was integrated into the platform for flexible collection of speech samples from speakers with different devices. The app presents various randomly selected sentences to the speakers and prompts them to record their voice while reading the text. The speech recordings are persisted as mono, 16bit, 48 files.
